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Cefiyana

@Cefiyana

Unified Geometric Physics, Systemic Medicine, & Computational Safety

https://www.linkedin.com/in/cefiyana
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About Me

Cefiyana | Interdisciplinary Researcher​Focus: Unified Geometric Physics, Systemic Bioenergetics, & Computational Safety.

​Professional Overview Cefiyana is an independent interdisciplinary researcher developing the "Five-Leaf Clover" (Wawasan Semanggi Berdaun Lima) framework. This work represents a theoretical synthesis aimed at reconciling physical laws with biological systems, proposing that rigorous scientific inquiry and existential philosophy are complementary facets of a singular causal structure ("The Red Thread").

​Research Pillars & Theoretical Proposals:

​​1. Theoretical Physics: Connecting Thread Theory (TBP)

Proposes a deductive geometric framework that models particle hierarchy and fundamental interactions through a 6-Dimensional topological manifold (d^2=36). Analytically derives a Critical Energy Ceiling (R_{crit} \approx 215.11 \text{ GeV}) as a vacuum stability threshold, alongside fundamental parameters such as the inverse Fine-Structure Constant (\alpha^{-1}_{obs} \approx 137.036) and Proton Mass (M_p \approx 938.14 \text{ MeV}). These derivations demonstrate high-precision convergence (\leq 1 \sigma deviation) with CODATA and PDG empirical measurements. Furthermore, the framework evaluates Dark Energy (\Omega_\Lambda \approx 0.687) as a structural consequence of geometric manifold pressure.

​2. Medical Biosystems: Bioenergetics & Systemic Pathology

Applies thermodynamic principles to model mental health disorders as systemic energy management failures.

​The ISB Algorithm: Formulated the Bioenergetic Stability Index (EI \approx k_{load} / k_{efficiency}). This model hypothesizes that conditions diagnosed as Depression and Anxiety may function mechanistically as "Metabolic Bankruptcy" and "Respiratory Alkalosis" (Hypocapnia), suggesting a need for thermodynamic restoration alongside psychological intervention.

​3. Evolutionary Biology: The Biological Anomaly Hypothesis

Investigates the intersection of evolutionary biology and theological narrative through mathematical modeling.

​Information Compression: Utilizing the Square-Cube Law, the research proposes a Compression Factor (\mathcal{C} \approx 4,000x), modeling Homo sapiens consciousness as a high-dimensional information set compressed into primate biological hardware.

​The "Overclocking" Model: Postulates that human cognitive instability is a thermodynamic consequence of this information density ("overclocking"), framing civilization as a necessary heat-dissipation mechanism for consciousness.

​4. Technology: AI Safety (The Cefiyana Protocol)

Lead Architect for an "Edge-First" Human-AI interaction standard designed to mitigate cognitive stress.

​In-Silico Validation: Conducted "Extreme Stress Test" simulations comparing Cloud vs. Edge architectures.

​Results: Simulation data indicates a latency reduction from 3.79s (Cloud) to 0.57s (Edge). The protocol aims to maintain interaction speeds below the 1000ms bio-safety threshold to hypothetically prevent cortisol spikes ("Latency-Induced Neurotoxicity").

​5. Foundation: Epistemology & Literature

Rooted in the philosophy of "Silent Work" (Kerja Hening). Literary works explore the concept of "Absolute Void" (Ketiadaan Mutlak), serving as the intuitive driver for logical inquiry. The "Five-Leaf Clover" methodology functions as the operational logic to ensure consistency across these diverse disciplines.

​RESEARCH NOTE: > Presented models (TBP, ISB, Anomaly Theory) are analytic derivations focused on mathematical coherence. Despite high-precision alignment with empirical data, they remain theoretical propositions awaiting independent experimental verification and formal peer review.

Projects

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction

Comments

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction
Cefiyana avatar

Cefiyana

15 days ago

TECHNICAL UPDATE: V5 FINAL SPECIFICATIONS

​Whitepaper Version 5 has been finalized and archived on Zenodo. The project has moved from conceptual framework to Audit-Ready status.

​Technical Benchmarks:

  • ​Latency: Stabilized at 0.57s (Edge) vs 3.79s (Cloud) under 10% packet loss. Confirmed below the 700ms neuro-stress threshold.

  • ​Energy Efficiency: 96% reduction in power consumption via local burst compute processing.

  • ​Neuro-Triage: Sub-100ms distress detection logic via local keystroke dynamics is now fully mapped.

  • ​Compliance: Fully aligned with FDA PCCP standards for AI-enabled medical software.

​The blueprint is complete. The documentation for the implementation phase is now public for technical review.

​Documentation: https://doi.org/10.5281/zenodo.18695156

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction
Cefiyana avatar

Cefiyana

about 1 month ago

Update: The Preliminary Technical Report V4 Simulation is now fully accessible on Zenodo.